High-sensitivity CEST mapping using a spatiotemporal correlation-enhanced method.

ABSTRACT:

Purpose

To obtain high-sensitivity CEST maps by exploiting the spatiotemporal correlation between CEST images.

Methods

A postprocessing method accomplished by multilinear singular value decomposition (MLSVD) was used to enhance the CEST SNR by exploiting the correlation between the Z-spectrum for each voxel and the low-rank property of the overall CEST data. The performance of this method was evaluated using CrCEST in ischemic mouse brain at 11.7 tesla. Then, MLSVD CEST was applied to obtain Cr, amide, and amine CEST maps of the ischemic mouse brain to demonstrate its general applications.

Results

Complex-valued Gaussian noise was added to CEST k-space data to mimic a low SNR situation. MLSVD CEST analysis was able to suppress the noise, recover the degraded CEST peak

SUBMITTER: Chen L 

PROVIDER: S-EPMC7722217 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature